Based on our last 2 lectures, write a white paper (max. 4 pages) that includes the following:
Data description and exploration (discuss patterns in data, provide visualizations as needed and explain clearly what you saw in the data)
Based on (a) what type of data processing is required. What did you do? Show and discuss that processing you performed on the data, why you chose to do these processing, etc.?
What type of model would you build to predict the target variable? Why? How would you set up the data to test your model performance? What model metric will you choose to evaluate your model performance?
Based on results in (c) what can you improve? Try some modifications in your earlier approach to improve the results. Did this help? Why or why not?
For more information on Data Description and Exploration read this: https://en.wikipedia.org/wiki/Data_exploration
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